Top Machine Learning Jobs in Calgary

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Machine Learning Software Developer will build and deploy AI systems, focusing on foundational models for clinical workflows and reporting enhancements, ensuring robust performance in regulated environments.

The Senior Manager, Credit Risk will design and execute credit risk strategies, lead a team, oversee collections, and ensure compliance with regulations. Key responsibilities include establishing risk policies, optimizing lending products, and building high-performing teams.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

As a Global Demo Excellence Lead, you'll own a demo ecosystem strategy, manage demo environments, and drive sales and partner readiness to enhance customer engagements across Geotab's diverse sectors.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

Build and operate scalable ML and generative AI platforms: deploy LLM-based solutions, design CI/CD and model pipelines, manage cloud infrastructure (Kubernetes, IaC), monitor and troubleshoot production models, evaluate ML tools, and collaborate cross-functionally to deliver and govern reliable AI features.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.

This internship involves developing machine learning systems for 3D applications, collaborating closely with engineers and researchers, and contributing to AI and graphics R&D.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.

The role involves permitting review, plan examination, and interpreting building codes while also supporting product development and project management efforts.

Manage a team of cloud engineers and architects, oversee data delivery, lead technical discussions, and mentor team members while ensuring technical accountability on projects.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

The Senior Product Manager will drive the AI product roadmap for Revenue Cycle Management, overseeing product lifecycle and collaboration with various teams to enhance billing workflows with AI integration.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.